Upload AMIsum.py
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AMIsum.py
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import json
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import datasets
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class ERRNewsConfig(datasets.BuilderConfig):
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def __init__(self, features, **kwargs):
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super().__init__(version=datasets.Version("1.0.0"), **kwargs)
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self.features = features
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class ERRNews(datasets.GeneratorBasedBuilder):
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features = ["transcript", "summary", "id"]
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BUILDER_CONFIGS = [
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ERRNewsConfig(
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name="full",
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features=features
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)
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]
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DEFAULT_CONFIG_NAME = "full"
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def _info(self):
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features = datasets.Features(
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{
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"transcript": datasets.Value("string"),
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"summary": datasets.Value("string"),
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"id": datasets.Value("string"),
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})
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return datasets.DatasetInfo(
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features=features,
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supervised_keys=None,
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version=self.config.version,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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train = "./train.json"
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test = "./test.json"
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val = "./val.json"
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"file_path": train,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"file_path": val,
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"file_path": test,
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},
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),
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]
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def create_dict(self, data):
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res = dict()
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for key in self.config.features:
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res[key] = data[key]
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return res
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def _generate_examples(self, file_path):
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with open(file_path) as f:
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data = json.load(f)
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for idx, transcript in enumerate(data["transcript"]):
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id_ = data["id"][idx]
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yield id_, {
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"transcript": transcript,
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"summary": data["summary"][idx],
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"id": id_,
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}
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